{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Auditory Sound Processing - Part I: Basics <img src='data/images/logo.png' width=50 align='left'> \n",
    "\n",
    "author: Thomas Haslwanter\\\n",
    "date: June-2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "# Standard packages\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "# Special imports\n",
    "from scipy.io.wavfile import read"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "In many programming languages there are tools to read in WAV-files (\"Waveform Audio File Format\").\n",
    "\n",
    "WAV files have a strictly defined format:\n",
    "<img src=\"data/images/WAV-chunks.png\">\n",
    "\n",
    "An easy way to access most other sound-types is use the open source program [FFMPEG](http://ffmpeg.org) to convert other sound types to WAV.\n",
    "<img src=\"data/images/SoundFiles.png\" width=500>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "<img src=\"data/images/piano.jpg\" width=200>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "audioDir = r'data\\sounds'\n",
    "soundFile = os.path.join(audioDir, 'a1.wav')\n",
    "rate, data = read(soundFile)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Information about the sound"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mono sound\n"
     ]
    }
   ],
   "source": [
    "if len(data.shape)==1:\n",
    "    print('Mono sound')\n",
    "else:\n",
    "    print('Stereo sound')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int16')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Be careful with \"uint\" data\n",
    "Sound is sometimes stored as unsigned integer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "value = np.uint8(253)\n",
    "print(np.uint8(value + 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duration of recording: 2.46 sec\n"
     ]
    }
   ],
   "source": [
    "nData = len(data)\n",
    "duration = nData/rate\n",
    "print('Duration of recording: {0:4.2f} sec'.format(duration))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "### Example of stereo sound\n",
    "Be careful: if you read in stereo-sound, you obtain a matrix, not a vector!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(230400, 2)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soundFile = os.path.join(audioDir, 'tiger.wav')\n",
    "rate, data = read(soundFile)\n",
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Play Sound"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "The following code allows you to play sound at the push of a button in this notebook. For a system-independent way to play sound in scripts, I recommend that you use the methods of *Sound* objects from the class *sksound.sounds.Sound* (from [scikit-sound](http://work.thaslwanter.at/sksound/html))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "from IPython.display import Audio, display\n",
    "\n",
    "def play(x, fr, autoplay=False):\n",
    "    display(Audio(x, rate=fr, autoplay=autoplay))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "data": {
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type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# back to a plain tone:\n",
    "soundFile = os.path.join(audioDir, 'a1.wav')\n",
    "rate, data = read(soundFile)\n",
    "play(data, rate)"
   ]
  },
  {
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   "source": [
    "## Further links to sound processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "fragment"
    }
   },
   "source": [
    "* [FFMPEG](http://www.ffmpeg.org/) A complete, cross-platform solution to record, convert and stream audio and video. \n",
    "* [scikit-sound](http://work.thaslwanter.at/sksound/html/sounds.html) Class for reading/writing/playing sounds. Uses FFMPEG.\n",
    "* [Pydub](http://pydub.com/) Lets you manipulate audio with a simple and easy high level interface. Requires FFMPEG."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
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     "slide_type": "skip"
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   },
   "source": [
    "[8_ParameterFitting](8_ParameterFitting.ipynb)<img src=\"data\\images\\Forward_Backward.png\" align='middle'>[9_SoundProc_Fourier](9_SoundProc_Fourier.ipynb)"
   ]
  },
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   "cell_type": "code",
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   "metadata": {},
   "outputs": [],
   "source": []
  }
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